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含多台集成式双馈感应风力发电机的电力系统吸引域估计
Region of Attraction Estimation for Power Systems With Multiple Integrated DFIG-Based Wind Turbines
| 作者 | Yang Liu · Huanjin Yao · Pengyu Di · Yingjie Qin · Yiming Ma · Mohammed Alkahtani |
| 期刊 | IEEE Transactions on Sustainable Energy |
| 出版日期 | 2025年6月 |
| 技术分类 | 风电变流技术 |
| 技术标签 | 储能系统 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 双馈感应风力发电机 电力系统 吸引域估计 机电模型 暂态稳定分析 |
语言:
中文摘要
针对含多台双馈感应风力发电机(DFIGWT)的电力系统缺乏适用建模方法,导致其吸引域(ROA)边界解析描述尚未充分研究的问题,本文提出一种包含多台DFIGWT的电力系统常微分方程(ODE)模型。该机电模型在单机无穷大系统和改进的3机9节点系统中验证,与完整模型轨迹比较的均方根误差低于9.5%,能准确捕捉低频动态特性。通过非线性坐标变换将其转化为多项式微分代数方程(DAE)模型,并采用基于平方和规划的改进扩展内点算法(EIA)估计ROA。在含多台DFIGWT与同步发电机的测试系统中验证了模型可行性及改进EIA的合理保守性,计算时间降低约17%且保持精度,为风电并网系统的暂态稳定性分析提供了高效工具。
English Abstract
The lack of suitable modeling methods for power systems with multiple doubly-fed induction generator-based wind turbines (DFIGWTs) integrated has left the analytical description of the boundary of the region of attraction (ROA) of such systems largely unexplored. To address this gap, this paper derives an ordinary differential equation (ODE) model for a power system with multiple DFIGWTs integrated. The proposed electromechanical model is validated in a single-machine-infinite-bus (SMIB) power system and a modified 3 machine 9 bus power system with root mean squared errors (RMSEs) of less than 9.5% for trajectory comparisons with the full model, demonstrating that it accurately captures the low-frequency dynamics of the full DFIGWT model. Subsequently, the ODE model is transformed into a polynomial differential-algebraic equation (DAE) model using a nonlinear coordinate transformation. To estimate the ROA, an enhanced expanding interior algorithm (EIA) based on sum of squares (SOS) programming is applied. The feasibility of the proposed model, along with the appropriate conservativeness of the improved EIA, is validated using two test systems that include multiple DFIGWTs and synchronous generators (SGs). By comparison, it is found that the time cost of the improved EIA is reduced by around 17% while maintaining the accuracy. These results demonstrate that the proposed approach has significant practical implications for the integration of wind farms into power systems, and offers an efficient tool for transient stability analysis.
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SunView 深度解读
该研究对阳光电源的储能与风电产品线具有重要参考价值。文中提出的多DFIG建模方法可用于优化ST系列储能变流器的并网控制策略,特别是在大规模风储联合并网场景中。通过吸引域(ROA)估计技术,可提升PowerTitan储能系统的暂态稳定性控制性能,为GFM/GFL控制算法优化提供理论支撑。研究成果可直接应用于阳光电源风电变流器产品的VSG控制设计,有助于提高系统稳定裕度。该方法在计算效率和精度上的改进,对iSolarCloud平台的暂态稳定性评估功能也具有实用价值。